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This article summarizes the treatment and integrated traditional Chinese and western medicine nursing experience of a patient with Guillain-Barre syndrome complicated with dissociative disorder. Through syndrome differentiation and nursing, Traditional Chinese Medicine characteristic nursing methods such as bamboo cupping therapy, moxibustion and five-tone music therapy were given according to the syndrome types and clinical symptoms, combined with psychotherapy and routine nursing interventions. The combined treatment of Traditional Chinese Medicine nursing techniques are effective to improve the muscle strength and relieve the uncomfortable symptoms of patients with Guillain-Barre syndrome complicated with dissociative disorder. (本文总结1例吉兰-巴雷综合征合并分离性障碍患者的中西医结合护理经验。基于护理评估和中医辨证, 在病情观察、生活指导、饮食护理等常规护理基础上, 采取竹罐、艾灸、五音疗法等中医护理适宜技术, 有效提高患者四肢肌力, 改善了患者不适症状。)

Landslide displacement prediction is an important basis for early landslide warning.This paper proposes a prediction model of landslide moving states based on time series and convolutional gated recurrent unit (CNN-GRU) to deal with the shortcomings of previous prediction models.Firstly,after employing wavelet analysis to determine the displacement of the trend term,the exponential smoothing method is adopted to decompose the cumulative displacement to obtain two displacement types of the trend term and the periodic term,and the trend term is fitted by a five-order polynomial.Then,the autocorrelation function is utilized to test the periodic displacement characteristics,and the gray correlation method is applied to determine the correlation degree between each factor and the periodic term.Meanwhile,the periodic term and the influencing factor are input into the CNN-GRU model for prediction,and finally the predicted cumulative displacement value is obtained by superposition.By taking the Baishui River landslide in the Three Gorges Reservoir area as an example,this paper selects the data from January 2004 to December 2012 for study,and the average absolute error percentage of the final prediction results is only 0.525%,with RMSE of 9.614 and R2 of 0.993.Experimental results show that CNN-GRU has higher prediction accuracy.

In the process of employing information quantity models for landslide susceptibility zoning,given that the information quantity of influencing factors is directly added or multiplied by a single weight,without considering the main and objective weight of the factor,this paper proposes an evaluation method based on the empowerment information quantity model of game theory.First,the analytic hierarchy process (AHP) is adopted to calculate the subjective weight,the objective weight is determined by the coefficient of variation method,and then the game theory principle is utilized to optimize the main and objective weight to get the combination weight.Meanwhile,the information layer of each evaluation factor is weighted and summed based on the combination weight,and the evaluation results are divided into five categories by the natural intermittent point method.Finally,by taking Shanyang County of Shaanxi Province as the research area,the proposed model is compared with the information quantity model of single weight in landslide-susceptibility zoning maps,zoning point density,and ROC curves respectively.The results show that the accuracy and reliability of the proposed method outperform traditional weighted information measurement methods.

Author(s): Qingqing Feng [sup.1] , Xiaoxi Chen [sup.1] , Zexian Guo [sup.1] Author Affiliations: (1) grid.258164.c, 0000 0004 1790 3548, School of Management, Jinan University, , 510632, Guangzhou, China Introduction [...], Investigating the contributing factors of career adaptability has always been an important topic in the field of vocational psychology research. From the perspective of person-environment interaction, this study introduced the role accumulation theory into the researches of career adaptability. Using a sample of 379 Chinese college students (mean age = 20.36 years, SD = 1.67), a model of role accumulation affecting college students' career adaptability was constructed, and the parallel mediating mechanisms of self-efficacy and social support were also discussed. Participants filled out questionnaires regarding role accumulation, self-efficacy, social support, and career adaptability. The results of structural equation modeling (SEM) showed that: (1) Role accumulation positively predicted career adaptability in college students; (2) Role accumulation also indirectly predicted career adaptability through self-efficacy and social support. The present study is the first to validate the psychological pathways linking role accumulation to career adaptability via self-efficacy and social support. The contribution of this study to the literature is to provide a new perspective that can clarify the predictors of career adaptability. In addition, for educational administrators and career practitioners, targeting role accumulation is valuable for developing college students' career adaptability.

The stripping of carbon nanotube forests (CNTF) is an urgent problem in terms of its application in thermal management and semiconductor devices. The easy‐peel and vertically aligned CNTF is prepared in a two‐step process of high vacuum magnetron sputtering and chemical vapor deposition. Based on the thick alumina buffer layer, CNTF with heights of 100 μm, 300 μm, and 500 μm was prepared by adjusting the magnetron sputtering power. Through SEM observation and calculation, the corresponding densities were 2.5 × 109 cm−2, 6.4 × 109 cm−2, and 1.21 × 1010 cm−2, with an average curvature of 1.64 × 102 m−1, 1.35 × 102 m−1 and 0.53 × 102 m‐−1, respectively. The TEM, XPS, Raman, and TGA were used to investigate the growth mechanism of CNTF. The experimental results show that the catalyst particles annealed under high sputtering power refined with high density can grow a low‐defect, well‐oriented, and high‐density CNTF, and confirm the tip growth route. Further analysis shows that the easy‐peel properties of CNTF depend on the thickness of the alumina layer, the tip growth route, and the tight entanglement between the nanotubes. This paper provides technical guidance and support for the preparation, stripping, and application of monolithic CNTF. [ABSTRACT FROM AUTHOR]